Discussing the article: "Elite Crystal Evolution Algorithm (CEO-inspired): Theory"
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Check out the new article: Elite Crystal Evolution Algorithm (CEO-inspired): Theory.
The article presents an adaptation of the Crystal Energy Optimizer (CEO) algorithm for continuous optimization problems. The algorithm is based on the physical process of a lake freezing, simulating the behavior of ice crystals as water transitions from a liquid to a solid state. The original CEO was developed for combinatorial problems (TSP), uses a graph of connections between crystals, and was introduced in a 2016 publication.
The Elite Crystal Evolution Algorithm (ECEA) is a population-based optimization algorithm I developed, inspired by the process of water crystallization as a lake freezes and by the concept behind the CEO algorithm. Imagine a lake in winter: when the temperature drops, the water begins to freeze, forming ice crystals. The best crystals (those in optimal conditions) become "frozen" and stable, while the rest continue to move and search for better positions. This natural metaphor forms the basis of our algorithm, which has been adapted to solve continuous optimization problems in multidimensional space.
Author: Andrey Dik